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BACH-AI-Tools

BACH YouTube API MCP Server

post_details

Retrieve detailed information about YouTube posts, including metadata and content specifics, using the BACH YouTube API MCP Server.

Instructions

Get post details. Quota cost is 1 unit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPost Id
channelIdNoChannel Id
geoNoISO 3166-2 country code of the region. Like US (default), GB, CA, IN, etc.
langNoLocale/language for request. Like en, gb, hi, etc
X-CACHEBYPASSNoCache bypass, the value must be 1 Quota Cost +1
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states 'Quota cost is 1 unit' which is valuable operational context not available elsewhere. However, it doesn't mention authentication requirements, rate limits, error conditions, or what format/details are returned in the response.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with just two short sentences that both add value. The first sentence states the core purpose, and the second provides important quota information. There's zero wasted text or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read operation with no annotations and no output schema, the description provides basic purpose and quota information but lacks important context. It doesn't explain what 'post' means in this system, what details are returned, or how this differs from similar tools. The quota cost information is helpful, but more behavioral context would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter info in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get post details' which clearly indicates a read operation on a post resource, but it doesn't specify what kind of post or what details are retrieved. It doesn't distinguish this tool from sibling tools like 'post_comments' or 'shorts_details' which might also retrieve post-related information.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools available (like 'video_details', 'shorts_details', 'post_comments'), there's no indication whether this is for regular posts, community posts, or other types, nor any prerequisites or context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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